Post–Loop Electrosurgical Excision Procedure High-Risk Human Papillomavirus Testing as a Test of Cure: The British Columbia Experience
Bibliographic record
Abstract
OBJECTIVES: To determine whether Hybrid Capture 2 High-Risk HPV DNA Test (HC2) can be used as a test of cure in women treated for cervical intraepithelial neoplasia grade 2 or worse (CIN 2+) and allow discharge from colposcopy follow-up with a return to a cytology-based screening program for HC2-negative women. MATERIALS AND METHODS: Data were analyzed for all women who underwent a loop electrosurgical excision procedure between August 1, 2008, and June 30, 2011, and had a valid HC2 result after loop electrosurgical excision procedure and follow-up histopathology result, to determine risk of persistent or recurrent CIN 2+ in HC2-positive and HC2-negative women. RESULTS: Two thousand three hundred forty women had adequate biopsies and valid HC2 results. Of 460 HC2-positive women, 118 (25.7%) were diagnosed with CIN 2+, whereas of 1,880 HC2-negative women, 35 (1.9%) had a subsequent diagnosis of CIN 2+ (p < .0002) yielding a HC2-negative predictive value of 98.1% (95% confidence interval = 97.4-98.7). Of 460 HC2-positive women, 306 initially had negative biopsies. In the subsequent 36 months, 38 of the 306 were diagnosed with CIN 2+. CONCLUSIONS: We conclude that women with a negative HC2 test can safely return to routine annual cytology screening by primary care providers while women who test HC2 positive are at higher risk and should continue to be followed by colposcopy, even if their initial biopsy is negative.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".